*Deckman McDonald
*Replication For: Uninspired by Old, White Guys: The Mobilizing Factor of Younger, More Diverse Candidates for Gen Z Women
*Journal: Politics and Gender

***********************
*******MAIN TEXT*******
***********************

*Table 1. Summary of Future Political Engagement Measures

*Acivity 1: Volunteer for a political campaign
bysort binarymale: sum act1norm

*Activity 2: Participate in a protest or rally
bysort binarymale: sum act2norm

*Activity 3: Encourage people to vote
bysort binarymale: sum act3norm

*Activity 4: Discuss public affairs with friends and family
bysort binarymale: sum act4norm

*Activity 5: Follow political news
bysort binarymale: sum act5norm

*Activity 6: Run for political office
bysort binarymale: sum act6norm

*Activity 7: Attend a local public or community meeting
bysort binarymale: sum act7norm

*Activity 8: Use social media to bring attention to an issue in my community
bysort binarymale: sum act8norm

*Figure 1. Effect of Treatment on Mobilization (White-Man-68 as baseline
reg futureactivity blackwoman22 whitewoman22 blackman22 whiteman22 blackwoman68 whitewoman68 blackman68
estimates store maineffects
coefplot maineffects, vertical drop(_cons) yline(0)

*Figure 2: Effect of Treatment among Men by Gender Identity
reg futureactivity blackwoman22 whitewoman22 blackman22 whiteman22 blackwoman68 whitewoman68 blackman68 if binarymale==1 & highgenid==0
estimates store menlowid
reg futureactivity blackwoman22 whitewoman22 blackman22 whiteman22 blackwoman68 whitewoman68 blackman68 if binarymale==1 & highgenid==1
estimates store menhighid
coefplot menlowid menhighid, vertical drop(_cons) yline(0)

*Figure 3: Effect of Treatment among Women by Gender Identity
reg futureactivity blackwoman22 whitewoman22 blackman22 whiteman22 blackwoman68 whitewoman68 blackman68 if binarymale==0 & highgenid==0
estimates store womenlowid
reg futureactivity blackwoman22 whitewoman22 blackman22 whiteman22 blackwoman68 whitewoman68 blackman68 if binarymale==0 & highgenid==1
estimates store womenhighid
coefplot womenlowid womenhighid, vertical drop(_cons) yline(0)

*Table 2:
reg futureactivity nonprivtreat highgenid genidXnonwhiteman68 if binarymale==1
reg futureactivity nonprivtreat highgenid genidXnonwhiteman68 if binarymale==0

************************
********APPENDIX********
************************

*A1

bysort binarymale: reg factormobilization nonprivtreat highgenid genidXnonwhiteman68

*A2

bysort binarymale: reg futureactivity nonprivtreat gidcontinuous gidcontXnonwhiteman68

*A3
bysort binarymale: reg futureactivity nonprivtreat pid7 pidxnonwhiteman68

*A4
bysort binarymale: reg futureactivity nonprivtreat highgenid pid7 genidXnonwhiteman68

*A5
bysort binarymale: tab pidwleaners highgenid, row

*A6
bysort binarymale: reg futureactivity nonprivtreat if pidwleaners==1 & highgenid==1
bysort binarymale: reg futureactivity nonprivtreat if pidwleaners==1 & highgenid==0
bysort binarymale: reg futureactivity nonprivtreat if pidwleaners==3 & highgenid==1
bysort binarymale: reg futureactivity nonprivtreat if pidwleaners==3 & highgenid==0

*A7

reg futureactivity nonprivtreat##white

*A8a

bysort binarymale: reg futureactivity nonprivtreat ideo7 ideoxnonwhiteman68

*A8b

bysort binarymale: reg futureactivity nonprivtreat pid7 pidxnonwhiteman68

*A8c

bysort binarymale: reg futureactivity nonprivtreat futureeduc edugoalxnonwhiteman68

*A8d

bysort binarymale: reg futureactivity nonprivtreat freqservices religxnonwhiteman68

*A9

bysort binarymale: reg futureactivity genzcand femalecand blackcand highgenid highgenidxgenzcand highgenidxblackcand highgenidxfemalecand 

*A10

mlogit condition white male faminc pid7

